Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping.
Protocol for quantitative characterization of human retinotopic maps using quasiconformal mapping.
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DOI：
10.1016/j.xpro.2023.102246
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发表时间：
2023-04-20
期刊：
影响因子：
--
通讯作者：
Wang, Yalin
中科院分区：
文献类型：
--
作者：
Ta, Duyan;Mallak, Negar Jalili;Lu, Zhong- Lin;Wang, Yalin
高场功能磁共振成像产生体内视网膜定位图，但量化它们仍然具有挑战性。在这里，我们提出了一个管道的基础上，共形几何和Teichmüller理论的定量表征人类retinotopic地图。我们描述皮层表面参数化和表面样条平滑的步骤。然后，我们详细的Beltrami系数为基础的映射，它提供了一个定量和重建的描述的retinotopic地图。该框架已成功地用于分析人类连接组计划的V1视网膜定位图。有关本方案使用和执行的完整详细信息，请参见Ta等人。（2022年）。使用拟共形映射定量描述人类视网膜定位图视网膜定位图生成和皮质表面共形平坦化的步骤薄板样条平滑和Beltrami系数计算的程序框架可以扩展到其他视觉区域和其他感觉领域的地图出版者注：进行任何实验协议都需要遵守当地机构的实验室安全和道德准则。高场功能磁共振成像产生体内视网膜定位图，但量化它们仍然具有挑战性。在这里，我们提出了一个管道的基础上，共形几何和Teichmüller理论的定量表征人类retinotopic地图。我们描述皮层表面参数化和表面样条平滑的步骤。然后，我们详细的Beltrami系数为基础的映射，它提供了一个定量和重建的描述的retinotopic地图。该框架已成功地用于分析人类连接组计划的V1视网膜定位图。
High-field functional magnetic resonance imaging generates in vivo retinotopic maps, but quantifying them remains challenging. Here, we present a pipeline based on conformal geometry and Teichmüller theory for the quantitative characterization of human retinotopic maps. We describe steps for cortical surface parameterization and surface-spline-based smoothing. We then detail Beltrami coefficient-based mapping, which provides a quantitative and re-constructible description of the retinotopic maps. This framework has been successfully used to analyze the Human Connectome Project’s V1 retinotopic maps. For complete details on the use and execution of this protocol, please refer to Ta et al. (2022). Quantitative description of human retinotopic maps using quasiconformal mapping Steps for retinotopic map generation and conformal flattening of cortical surface Procedures for thin plate spline smoothing and Beltrami coefficient computing Framework can be extended to other visual areas and maps in other sensory domains Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. High-field functional magnetic resonance imaging generates in vivo retinotopic maps, but quantifying them remains challenging. Here, we present a pipeline based on conformal geometry and Teichmüller theory for the quantitative characterization of human retinotopic maps. We describe steps for cortical surface parameterization and surface-spline-based smoothing. We then detail Beltrami coefficient-based mapping, which provides a quantitative and re-constructible description of the retinotopic maps. This framework has been successfully used to analyze the Human Connectome Project’s V1 retinotopic maps.
影响因子：
3.1
作者：
Tu, Yanshuai;Li, Xin;Zhong-Lin Lu;Wang, Yalin
通讯作者：
Wang, Yalin
影响因子：
3.7
作者：
Wang, Liang;Mruczek, Ryan E. B.;Kastner, Sabine
通讯作者：
Kastner, Sabine
影响因子：
10.9
作者：
Ta D;Tu Y;Lu ZL;Wang Y
通讯作者：
Wang Y